Effectiveness of an eHealth self-management tool for older adults with multimorbidity (KeepWell): protocol for a hybrid effectiveness-implementation randomised controlled trial

The Synergistic Effect of Nurse Proactive Phone Calls With an mHealth App Program on Sustaining App Usage: 3-Arm Randomized Controlled Trial

BACKGROUND

Although mobile health application (mHealth app) programs have effectively promoted disease self-management behaviors in the last decade, usage rates have tended to fall over time.

OBJECTIVE

We used a case management approach led by a nurse and supported by a health-social partnership team with the aim of sustaining app usage among community-dwelling older adults and evaluated the outcome differences (i.e, self-efficacy, levels of depression, and total health service usages) between those who continued to use the app.

METHODS

This was a 3-arm randomized controlled trial. A total of 221 older adults with hypertension, diabetes, or chronic pain were randomized into 3 groups: mHealth (n=71), mHealth with interactivity (mHealth+I; n=74), and the control (n=76). The mHealth application was given to the mHealth and mHealth+I groups. The mHealth+I group also received 8 proactive calls in 3 months from a nurse to encourage use of the app. The control group received no interventions. Data were collected at preintervention (T1), postintervention (T2), and at 3 months' postintervention (T3) to ascertain the sustained effect.

RESULTS

A total of 37.8% of mHealth+I and 18.3% of mHealth group participants continued using the mHealth app at least twice per week until the end of the sixth month. The difference in app usage across the 2 groups between T2 and T3 was significant (χ²₁=6.81, P=.009). Improvements in self-efficacy (β=4.30, 95% CI 0.25-8.35, P=.04) and depression levels (β=-1.98, 95% CI -3.78 to -0.19, P=.03) from T1 to T3 were observed in the mHealth group participants who continued using the app. Although self-efficacy and depression scores improved from T1 to T2 in the mHealth+I group, the mean values decreased at T3. Health service usage decreased for all groups from T1 to T2 (β=-1.38, 95% CI -1.98 to -0.78, P<.001), with a marginal increase at T3.

CONCLUSIONS

The relatively low rates of mHealth app usage at follow-up are comparable to those reported in the literature. More work is needed to merge the technology-driven and in-person aspects of mHealth.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03878212; https://clinicaltrials.gov/ct2/show/NCT03878212.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1159/000509129.

Mechanisms of Social Interaction and Virtual Connections as Strong Predictors of Wellbeing of Older Adults

Socially engaged older adults are less likely to decline in health and happiness and have a higher quality of life. Building upon this premise, examination was conducted on the domains of social determinants of health, specifically the social and community context per Healthy People 2030 objectives. These mechanisms of social interaction, in the form of group activities, community engagement, and virtual interactions via email or text message, were assessed using hierarchical regression analysis to find out their association with wellbeing, depression symptoms, and cognition of older adults. The data included a total of 4623 sample of older adults from the National Health and Aging Trend Study (NHATS) Round 8. The results showed that social support explained a 40.3% unique variance on wellbeing. The use of text message and email had a moderating effect on community engagement and self-reported depression level in older adults. Findings suggest that community programs, shared group activities, or technology training workshops can improve social interaction and support cognition and reduce depression in older adults. Directions for future research include examining human behaviors and perceptions and increasing technology training sessions to promote independence of older adults and increase their social connections. In addition, participant involvement in interventions would enhance the possibility of success of such endeavors.

Can internet use reduce the incidence of cognitive impairment? Analysis of the EpiFloripa Aging Cohort Study (2009-2019)

This study aims to estimate the effect of internet use on the incidence of cognitive impairment in older adults. Data are from the EpiFloripa Aging Cohort Study which has been following a population-based sample of older adults (60+) residing in Florianópolis, southern Brazil, for ten years. The outcome was the incidence of cognitive decline in follow-up waves measured by the Mini-Mental State Examination using cutoff points according to education. The exposure was internet use according to wave (yes/no). We excluded individuals with cognitive impairment from Wave 1 (n = 453). We used a longitudinal analysis model (Generalized Estimating Equations) to estimate incidence rate ratios (IRR) with 95% confidence intervals. We estimated the risk of cognitive impairment in Wave 2 or Wave 3 according to internet use in the previous wave. The incidence of cognitive impairment was 13.4% in Wave 2 and 13.3% in Wave 3. Despite the aging of this cohort, the prevalence of internet users increased from 26.4% in Wave 1 to 32.8% in Wave 2 and 46.8% in Wave 3. The risk of cognitive impairment in Wave 2 or Wave 3 was 70% lower for older adults who used the internet in the previous wave, adjusted for sex, age, years of education, household income, and self-reported comorbidities (IRR = 0.30; 95% CI: 0.15-0.61; p = 0.001). Internet use was associated with a decline in the incidence of cognitive impairment among older adults living in the urban areas of southern Brazil after a period of ten years.

Study on the Types of Elderly Intelligent Health Management Technology and the Influencing Factors of Its Adoption

[Background]: In recent years, aging has become a global social problem. Intelligent health management technology (IHMT) provides solutions for the elderly to deal with various health risks. However, the elderly are facing many difficulties in using IHMT. Studying the application types of IHMT and the influencing factors of the elderly’s acceptance of it will help to improve the use behavior of the elderly. [Methods]: This paper summarizes the application types of IHMT, identifies the influencing factors of the elderly’s adaption of IHMT, and makes a systematic comment on the influencing factors. [Results]: We divide the different functions of IHMT for the elderly into four types: self-monitoring, medical care, remote monitoring, and health education. The influencing factors are divided into three types: individual, social, and technology. [Conclusions]: This study finds that IHMT’s application covers all aspects of the health services of the elderly. Among these applications, self-monitoring is the most used. We divided the influencing factors of the elderly’s acceptance of IHMT into three categories and nine subcategories, having 25 variables.

Benefit of an Internet-Based Management System among Hemodialysis Patients at the Risk of Intradialytic Hypotension and Muscle Cramps: A Controlled before and after Study

BACKGROUND

The purpose of this study was to observe the impact of an internet-based management system on the incidence of intradialytic hypotension (IDH) and muscle cramps in hemodialysis patients.

METHODS

The patients, who underwent maintenance hemodialysis in the center from January 2018 to June 2020, were recruited and divided into the pre-intervention group (before operation of the internet-based hemodialysis management system, from January 2018 to December 2018) and intervention group (after operation of the system, from June 2019 to June 2020). The clinical outcomes were compared between groups.

RESULTS

The compound endpoint of >1 IDH or muscle cramps happened in 182 patients (61.7%) in the pre-intervention group and 99 participants (30.8%) in the intervention group (relative risk [RR] = 0.50 [95% confidence interval [CI], 0.42; 0.60]). IDH occurred in 122 patients (1-5 episodes in 47 patients, 6-10 episodes in 25 patients, and >10 episodes in 50 patients) and 33 patients (30 patients had 1-5 episodes and 3 patients had 6-10 episodes) before and after execution of the internet-based management system, respectively (RR = 0.25 [95% CI, 0.18; 0.35]). The incidence of muscle cramps was significantly decreased (RR = 0.57 [95% CI, 0.45; 0.73]) after the implementation of the system, and the number of patients with 6-10 episodes dropped from 10 to 1. Multivariate analyses also showed significantly lower RRs in the intervention group: 0.29 ([95% CI, 0.20; 0.41]) for IDH and 0.58 ([95% CI, 0.45; 0.74]) for muscle cramps. Compared with the pre-intervention, participants in the intervention group had a large improvement in self-management (p < 0.001) and self-efficacy (p < 0.001).

CONCLUSION

The study found that the internet-based hemodialysis management system was effective in reducing the IDH and muscle cramp events and improving self-management. It provided a significant implication for the development and application of internet-based programs in hemodialysis management.

Sustainable Technologies for Older Adults

The exponential evolution of technology and the growth of the elderly population are two phenomena that will inevitably interact with increasing frequency in the future. This paper analyses scientific literature as a means of furthering progress in sustainable technology for senior living. We carried out a bibliometric analysis of papers published in this area and compiled by the Web of Science (WOS) and Scopus, examining the main participants and advances in the field from 2000 to the first quarter of 2021. The study describes some interesting research projects addressing three different aspects of older adults’ daily lives—health, daily activities and wellbeing—and policies to promote healthy aging and improve the sustainability of the healthcare system. It also looks at lines of research into transversal characteristics of technology. Our analysis showed that publications mentioning sustainability technologies for older adults have been growing progressively since the 2000s, but that the big increase in the number of research works in this area took place during the period 2016–2021. These more recent works show a tendency to study those factors that improve healthy aging, ensure the social inclusion of the elderly through technology and prolong the time in which they can live independent lives thanks to smart environments. Current research gaps in the literature are also discussed.